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Federico Mattiello
I worked on statistical methods to rank laundry detergents, to find important substructures in pharmacological molecules, and to plan microbiome studies. I designed clinical trials and built prognostic models for the risk of relapse in lymphoma.
Education
PhD. Candidate, Statistical Sciences
University of Bologna
Bologna, Italy
2014 - 2011
- Thesis title: “Statistical Ordering Using Permutations”
- Developed complementary R package
MSc Statistics and Informatics
University of Padua
Padova, Italy
2010 - 2008
- Thesis on permutational approach for multivariate ordering
Research
PhD. Candidate, Biostatistical Engineer
University of Ghent
Ghent, Belgium
‘’2016’’ - 2014
- Developed Shiny application and models for differential abundances analyses of microbiome data
Research Assistant
University of Ghent
Ghent, Belgium
2014 - 2012
- Developed mathematical model to understand association between molecule parts, bioactivity, and transcriptomics data
Undergraduate Researcher
University of Padua
Padova, Italy
2012 - 2010
- Teaching assistant for the course of ‘Statistics for Political Sciences’ in the department of Political Sciences
Undergraduate Researcher
University of Padua
Padova, Italy
2012 - 2010
- Research assignment related to MSc thesis
- Deployment of statistical model for an industry partner
Industry
Principal Data Scientist
F. Hoffmann-La Roche AG
Basel
Current - March 2016
Publications
Languages
My profile on Google Scholar: https://scholar.google.com/citations?hl=en&user=g5KymxIAAAAJ
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I have worked as a research assistant, PhD candidate, clinical trialist, statistical scientist. I like any project that allows me to learn something new, especially from the scientific side. I’m curious about physics, biology, and technology.
I love teaching and presenting results in general. Explaining complex topics is something I really enjoy because you can learn a lot by engaging the audience.
Disclaimer
Made with the R package pagedown.
The source code is available on github.com/mafed/datadrivencv.
Last updated on 2023-09-26.